As an execution platform for video transcoding operation, heterogeneous cloud virtual machines are analyzed for performance evaluation of different video content by Li et al. in [1]}. In this work, the authors elaborately discuss the correlation of video content type with the transcoding operation's execution time on heterogeneous VMs. In a similar context, Ghatrehsamani et al. in [2]} performed a detailed study of performance overhead of various cloud execution platforms utilizing four categories of real-world applications. One of the interesting findings of this work is that the containers are not always suitable computing platforms in the cloud. The above mentioned works mainly focus on virtual computing platforms regardless of application domain whereas we explore specific DNN-based applications inference execution pattern.
